Navigating the Integration of Machine Learning into Domain Research

Increasingly, scientific research teams desire to in- corporate machine learning into their existing computational workflows. Codebases must be augmented, and datasets must be prepared for domain-specific machine learning processes. Team members involved in software development and data maintenance, particularly research software engineers, can foster the design, implementation, and maintenance of infrastructures that allow for new methodologies in the pursuit of discovery. In this paper, we highlight some of the main challenges and offer assistance in planning and implementing machine learning projects for science.